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Title:      FOCUSED TIME-DELAY NEURAL NETWORK MODELING TOWARDS TYPING STREAM PREDICTION
Author(s):      Jun Li , Karim Ouazzane , Hassan Kazemian , Yanguo Jing , Richard Boyd
ISBN:      978-972-8924-87-4
Editors:      António Palma dos Reis
Year:      2009
Edition:      Single
Keywords:      Focused Time-Delay Neural Network, Unary Coding, First Rank Conversion Values, Hitting Rate, First Hitting Rate, FT Hitting Rate.
Type:      Short Paper
First Page:      189
Last Page:      194
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      User’s typing stream contains all the information of user’s interaction with computer by using QWERTY keyboard, which may include user's vocabulary, typing habit and typing performance. This paper suggests a novel Focused Time- Delay Neural Network model with extendable input and hidden layer neurons to analyze plain text and user’s historical typing data. The experimental results indicate that about 50% First Three (FT) Hitting Rate is achieved, which reflect a high FTDNN model performance. This can be applied to both, typing prediction and correction.
   

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